A direct upscaling probabilistic forecasting model for PV cluster power generation based on softDTW-(ClusterGAN-KShape)-AMQWavenet

The increasing penetration of photovoltaic (PV) power presents severe challenges to power system operation due to its inherent output uncertainty. To accurately quantify the uncertainty of regional PV generation, this paper proposes a novel integrated framework for direct multi-step probabilistic fo...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Qing Li, Tianjiao Ma, Shumao Zheng, Yihui Lu, Zhaoxiang Deng, Fu Shen
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2026-05-01
Sarja:	Energy Conversion and Management: X
Aiheet:	Photovoltaic Cluster Probabilistic Forecasting softDTW ClusterGAN MQWaveNet KShape
Linkit:	http://www.sciencedirect.com/science/article/pii/S2590174526001017
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